Author

Jie Feng

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Preprint Sep 2026

RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts

End-to-end autonomous driving policies are commonly trained via imitation learning on logged demonstrations without observing the consequences of their own actions, leading to causal confusion in closed-loop real-world deployment. To address this issue, reinforcement learning (RL) post-training offers a promising alter...

Hong-Bin Lin, Chao-Da Zheng, Yi-Ming Yang et al. · 0 citations

2026

MiniCache: Reusable Program Caching with Small Model Interfaces for Efficient LLM Inference

MiniCache is a reusable program caching framework that transforms Program-of-Thought programs into parameterized cache objects, enabling reusable computation across structurally similar requests, and consistently improves the trade-off between inference latency, cache reuse, and task quality.

Jing-Quan Chen, Jing-Hua Piao, Jie Feng et al. · arXiv.org · 0 citations

Preprint Jul 2026

CacheSpec: Finding the Sweet Spot for Small Models in Large Language Models

The results suggest that the sweet spot for small models in large-model inference systems lies not in solving complex tasks independently, but in performing lightweight, structured, and verifiable auxiliary operations.

Jingquan Chen, Jie Feng, J. Piao et al. · 0 citations